面向低视角场面监视的移动目标速度测量

为构建有效的机场场面视觉监视系统，提出了一种基于特征点持续跟踪与分析的移动目标速度测量方法。首先，利用场面几何特征对摄像机进行标定；然后，基于光流场对图像运动区域的特征点进行持续跟踪，在此基础上通过特征点轨迹聚类区分不同移动目标；最后，根据特征点高度与运动距离完成速度测量。所提方法能够利用机场场面摄像机获取的低视角单目视频图像，对移动目标的运动速度进行准确测量。基于广州白云国际机场的场面运行视频进行了仿真分析，验证了所提方法在低视角速度测量方面的可行性与优势。 

Moving object speed measurement for low-camera-angle surface surveillance

To build an effective airport surface visual surveillance system, a moving object speed measurement method based on long-term feature point tracking and analysis is proposed. First, the surveillance camera is calibrated using geographic features on the airport surface. Then, the feature points in motion regions of the images are continuously tracked via optical flow fields. On this basis, different moving objects are identified by clustering the feature point trajectories. Finally, the speeds of the moving objects are measured according to the heights and moving distances of the feature points. The proposed method can accurately measure the object moving speeds using low-camera-angle monocular video images obtained by cameras installed on the airport surface. Simulation studies are conducted based on the surface operation videos of Guangzhou Baiyun International Airport, which verify the feasibility and advantages of the proposed method for low-camera-angle speed measurement.